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Fuzzy Transform Theory in The View of Image Registration Application

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1501B5V" target="_blank" >RIV/61988987:17610/14:A1501B5V - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Transform Theory in The View of Image Registration Application

  • Original language description

    In this paper, the application of the fuzzy transforms of the zero degree ($F^0$-transform) and of the first degree ($F^1$-transform) to the image registration is demonstrated. The main idea is to use only one technique (F-transform generally) to solve various tasks of the image registration. The $F^1$-transform is used for an extraction of feature points in edge detection step. The correspondence between the feature points in two images is obtained by the image similarity algorithm based on the $F^0$-transform. Then, the shift vector for corresponding corners is computed, and by the image fusion algorithm, the final image is created. keywords{image registration, feature detection, edge detection, image similarity, image fusion}

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IPMU 2014, Part II, Communications in Computer and Information Science 443

  • ISBN

    978-3-319-08854-9

  • ISSN

    1865-0929

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    143-152

  • Publisher name

    Springer International Publishing

  • Place of publication

  • Event location

    Montpellier, France

  • Event date

    Jul 15, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article